IOPaint
A free and open-source inpainting & outpainting tool powered by SOTA AI model.
## Quick Start
### Start webui
IOPaint provides a convenient webui for using the latest AI models to edit your images.
You can install and start IOPaint easily by running following command:
```bash
# In order to use GPU, install cuda version of pytorch first.
# pip3 install torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu118
# AMD GPU users, please utilize the following command, only works on linux, as pytorch is not yet supported on Windows with ROCm.
# pip3 install torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/rocm5.6
pip3 install iopaint
iopaint start --model=lama --device=cpu --port=8080
```
That's it, you can start using IOPaint by visiting http://localhost:8080 in your web browser.
### Batch processing
You can also use IOPaint in the command line to batch process images:
```bash
iopaint run --model=lama --device=cpu \
--input=/path/to/image_folder \
--mask=/path/to/mask_folder \
--output=output_dir
```
`--input` is the folder containing input images, `--mask` is the folder containing corresponding mask images.
When `--mask` is a path to a mask file, all images will be processed using this mask.
You can see more information about the available models and plugins supported by IOPaint below.
## Features
- Completely free and open-source, fully self-hosted, support CPU & GPU & Apple Silicon
- Supports various AI models:
- Erase models: These models can be used to remove unwanted object, defect, watermarks, people from image.
- Stable Diffusion models: You can use any Stable Diffusion Inpainting(or normal) models from [Huggingface](https://huggingface.co/models?other=stable-diffusion) in IOPaint.
Some popular used models include:
- [runwayml/stable-diffusion-inpainting](https://huggingface.co/runwayml/stable-diffusion-inpainting)
- [diffusers/stable-diffusion-xl-1.0-inpainting-0.1](https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1)
- [andregn/Realistic_Vision_V3.0-inpainting](https://huggingface.co/andregn/Realistic_Vision_V3.0-inpainting)
- [Lykon/dreamshaper-8-inpainting](https://huggingface.co/Lykon/dreamshaper-8-inpainting)
- [Sanster/anything-4.0-inpainting](https://huggingface.co/Sanster/anything-4.0-inpainting)
- [Sanster/PowerPaint-V1-stable-diffusion-inpainting](https://huggingface.co/Sanster/PowerPaint-V1-stable-diffusion-inpainting)
- Other Diffusion models:
- [Sanster/AnyText](https://huggingface.co/Sanster/AnyText)
- [timbrooks/instruct-pix2pix](https://huggingface.co/timbrooks/instruct-pix2pix)
- [Fantasy-Studio/Paint-by-Example](https://huggingface.co/Fantasy-Studio/Paint-by-Example)
- [kandinsky-community/kandinsky-2-2-decoder-inpaint](https://huggingface.co/kandinsky-community/kandinsky-2-2-decoder-inpaint)
- Plugins
- [Segment Anything](https://iopaint.com/plugins/interactive_seg): Accurate and fast interactive object segmentation
- [RemoveBG](https://iopaint.com/plugins/rembg): Remove image background or generate masks for foreground objects
- [Anime Segmentation](https://iopaint.com/plugins/anime_seg): Similar to RemoveBG, the model is specifically trained for anime images.
- [RealESRGAN](https://iopaint.com/plugins/RealESRGAN): Super Resolution
- [GFPGAN](https://iopaint.com/plugins/GFPGAN): Face Restoration
- [RestoreFormer](https://iopaint.com/plugins/RestoreFormer): Face Restoration
- [FileManager](https://iopaint.com/features/file_manager): Browse your pictures conveniently and save them directly to the output directory.
- [Native macOS app](https://opticlean.io/) for erase task
- More features at [IOPaint Docs](https://iopaint.com/)